Ms. Shreya Agarwal | Biomedical | Best Researcher Award

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Ms. Shreya Agarwal | Biomedical | Best Researcher Award

Shreya Agarwal at University of Freiburg, Germany

Profiles

Google Scholar

Academic Background

Ms. Shreya Agarwal is a dedicated Life Scientist with a Master’s in Neuroscience and a passion for advancing our understanding of the brain. With substantial experience in laboratory research, she excels in data analysis, microscopy, molecular biology, and genetics. Known for her strong organizational skills and ability to manage multiple projects with precision, Shreya is committed to contributing to her team’s success and taking on new challenges.

Education

Master of Science (M.Sc.) in Molecular and Translational Neurosciences
University of Ulm, Germany (2021)
Thesis: “Study of the mutation KIF5A in ALS, which promotes protein aggregation”

Bachelor of Science (B.Sc.) in Neurosciences
Amity University, Noida, India (2019)
Thesis: “The role of chronic hypobaric hypoxia in the development of cognitive impairment”

Work Experience

PhD Student, Biomikrotechnik
Institut für Mikrosystemtechnik – IMTEK, Albert-Ludwigs-Universität Freiburg (Since 10.2023)
Researching network development and spatial embedding of inhibitory neurons.

Research Associate
Institute of Anatomy and Cell Biology, University of Ulm (01.2022 – 03.2023)
Investigated synaptic aging in Alzheimer’s and ALS; led tutoring and scientific discussions.

Research Assistant
Institute of Anatomy and Cell Biology, University of Ulm (01.2021 – 04.2021)
Assisted in experiments, maintained research records, and implemented data analysis software.

Training and Internship
Center for Clinical Research, University Clinic for Neurology, Ulm (10.2020 – 11.2020)
Studied clinical drug development and principles of pharmacokinetics.

Student Research Intern
Institute for Physiological Chemistry, University of Ulm (08.2020 – 10.2020)
Analyzed mouse models for NF kappa B expression and receptor tyrosine kinase investigation.

📚 Certifications

FELASA – Laboratory Animal Science Course (11.2023)
Project Management by IGradU (02.2023)
Scientific Writing and Presentation Skills (IGradU, 2022)
Writing in the Sciences by Stanford (07.2021)
Drug Discovery and Development by UC San Diego (12.2020)

🏆 Awards

STIBET Scholarship by Ulm University and DAAD (2020 – 2021)

🔧 Skills

Cell culture techniques, qPCR, Western Blot, Immunocytochemistry
Data analysis software including MATLAB, GraphPad Prism, ImageJ

Publications

Current status of drug targets and emerging therapeutic strategies in the management of Alzheimer’s disease
  • Authors: Shampa Ghosh, Shantanu Durgvanshi, Shreya Agarwal, Manchala Raghunath, Jitendra K Sinha
  • Journal: Current neuropharmacology
  • Year: 2020
Long-Term Potentiation
  • Authors: Jitendra Kumar Sinha, Shreya Agarwal, Shampa Ghosh
  • Year: 2022
Pituitary Gland
  • Authors: S Ghosh, S Durgvanshi, S Agarwal, JK Sinha
  • Journal: Encyclopedia of Animal Cognition and Behavior
  • Year: 2019

Dr. Yuki Higashimoto | Healthcare Applications | Best Researcher Award

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Dr. Yuki Higashimoto | Healthcare Applications | Best Researcher Award

Doctorate at Fujita Health University, Japan

Profiles

Orcid

Education

Dr. Yuki completed his primary education with 6 years in primary school, followed by 3 years in junior high school and 3 years in senior high school. He pursued his university education at Fujita Health University School of Health Sciences from 2003 to 2007. He continued his graduate studies at Fujita Health University Graduate School of Health Sciences, earning his Master’s degree from 2007 to 2009. He later obtained his Doctor of Philosophy in Medicine (PhD) in September 2018 from the Graduate School of Medicine, Fujita Health University.

Professional Experience

From 2009 to 2017, Dr. Yuki worked as a Medical Technologist in the Department of Clinical Laboratory at Fujita Health University Hospital, Toyoake, Aichi, Japan. He served as an Assistant Professor at the Faculty of Medical Technology, Fujita Health University, from 2017 to August 2021. Additionally, he continued as a Medical Technologist at Fujita Health University Hospital until 2022.

📚 Teaching and Academic Appointments

Since September 2021, Dr. Yuki has held the position of Senior Assistant Professor of Clinical Microbiology and Clinical Immunology at the Faculty of Medical Technology, Fujita Health University, Toyoake, Aichi, Japan.

🏆 Honors and Awards

In 2018, Dr. Yuki received the Young Scientist Incentive Award from The Japanese Society of Clinical Virology.

🔬 Professional Memberships

Dr. Yuki is an active member of several professional organizations, including The Japanese Society for Virology, The Japanese Society of Clinical Virology, The Japanese Society of Vaccinology, The Japanese Society for Clinical Microbiology, The Japan Association for Clinical Laboratory Science, and the Japanese Society of Food Science and Risk Analysis.

 Publications

Generation of Recombinant Authentic Live Attenuated Human Rotavirus Vaccine Strain RIX4414 (Rotarix<sup>®</sup>) from Cloned cDNAs Using Reverse Genetics
  • Authors: Saori Fukuda, Masanori Kugita, Kanako Kumamoto, Yuki Akari, Yuki Higashimoto, Shizuko Nagao, Takayuki Murata, Tetsushi Yoshikawa, Koki Taniguchi, Satoshi Komoto
  • Journal: Viruses
  • Year: 2024
Andrographolide, isolated from Andrographis paniculata, induces apoptosis in monocytic leukemia and multiple myeloma cells via augmentation of reactive oxygen species production
  • Authors: Doi H, Matsui T, Dijkstra JM, Ogasawara A, Higashimoto Y, Imamura S, Ohye T, Takematsu H, Katsuda I, Akiyama H
  • Journal: F1000Research
  • Year: 2021
Diagnostic accuracy of LAMP versus PCR over the course of SARS-CoV-2 infection
  • Authors: Inaba M, Higashimoto Y, Toyama Y, Horiguchi T, Hibino M, Iwata M, Imaizumi K, Doi Y
  • Journal: International Journal of Infectious Diseases
  • Year: 2021
Evaluation of varicella vaccine effectiveness during outbreaks in schools or nurseries by cross-sectional study
  • Authors: Kawamura Y, Hattori F, Higashimoto Y, Kozawa K, Yoshikawa T
  • Journal: Vaccine
  • Year: 2021
Dry loop–mediated isothermal amplification assay for detection of SARS-CoV-2 from clinical specimens
  • Authors: Higashimoto Y, Ihira M, Kawamura Y, Inaba M, Shirato K, Suzuki T, Hasegawa H, Kageyama T, Doi Y, Hata T et al.
  • Journal: Preprint
  • Year: 2020

Dr. Kais Iben Nassar | Machine Learning | Best Researcher Award

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Dr. Kais Iben Nassar | Machine Learning | Best Researcher Award

Doctorate at University of Aveiro , Portugal

Profiles

Scopus

Orcid

Google Scholar

Academic Background

Dr. Kais Iben Nassar is a researcher with a focus on Condensed Matter Physics and Computational Chemistry. He completed his PhD in Physics of Condensed Materials in 2022 through a joint program between the University of Aveiro, Portugal, and the University of Sfax, Tunisia. Dr. Nassar is renowned for his work in materials science, particularly in the study of 2D materials like MXenes and their applications in energy storage and catalysis.

Education

  • PhD in Physics of Condensed Materials
    Université de Sfax & Universidade de Aveiro (2022)
    Achieved with highest honors.
  • Master’s in Condensed Matter Physics
    Université de Sfax (2018)
    Graduated with distinction.
  • Fundamental License in Physics-Chemistry
    Université de Sfax (2016)
    Graduated with distinction.

Professional Experience

  • Postdoctoral Researcher
    Universidade de Aveiro, CICECO (2023 – Present)
    Focus on MXenes catalysts and computational chemistry.
  • Researcher
    Université de Sfax & Universidade de Aveiro (2018 – 2021)
    Conducted research on perovskites and materials science.
  • Invited Assistant Professor
    Université de Sfax (2021 – 2022)
    Taught and mentored students in physics and chemistry.

🔬 Research Interests

Dr. Nassar’s research interests encompass Condensed Materials Physics, nano-materials, computational chemistry, and machine learning. His work includes investigating the properties of 2D materials such as MXene, exploring their potential in energy storage, catalysis, and electronics. He is actively engaged in the preparation and characterization of new perovskite ceramics and the study of their structural, electrical, and magnetic properties. Dr. Nassar is also a member of the European Materials Acceleration Center for Energy (EU-MACE) under the COST Action CA22123.

 Publications

Tailoring of structural, morphological, electrical, and magnetic properties of LaMn1−xFexO3 ceramics
  • Authors: Thakur, P., Nassar, K.I., Kumar, D., Essid, M., Lal, M.
  • Journal: RSC Advances
  • Year: 2024
Structural, electrical properties of bismuth and niobium-doped LaNiO3 perovskite obtained by sol–gel route for future electronic device applications
  • Authors: Nassar, K.I., Benamara, M., Kechiche, L., Teixeira, S.S., Graça, M.P.F.
  • Journal: Indian Journal of Physics
  • Year: 2024
Investigating Fe-doped Ba0.67Ni0.33Mn1−xFexO3 (x = 0, 0.2) ceramics: insights into electrical and dielectric behaviors
  • Authors: Tayari, F., Iben Nassar, K., Algessair, S., Hjiri, M., Benamara, M.
  • Journal: RSC Advances
  • Year: 2024
Sol–gel synthesized (Bi0.5Ba0.5Ag)0.5 (NiMn)0.5O3 perovskite ceramic: An exploration of its structural characteristics, dielectric properties and electrical conductivity
  • Authors: Tayari, F., Iben Nassar, K., Benamara, M., Soreto Teixeira, S., Graça, M.P.F.
  • Journal: Ceramics International
  • Year: 2024
Study of Electrical and Dielectric Behaviors of Copper-Doped Zinc Oxide Ceramic Prepared by Spark Plasma Sintering for Electronic Device Applications
  • Authors: Benamara, M., Iben Nassar, K., Rivero-Antúnez, P., Serrà, A., Esquivias, L.
  • Journal: Nanomaterials
  • Year: 2024

Dr. Na Yi | Deep Metric Learning | Best Researcher Award

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Dr. Na Yi | Deep Metric Learning | Best Researcher Award

Doctorate at Heilongjiang University of Science and Technology, China

Profiles

Scopus

Orcid

Academic Background

Dr. Na Yi, born in June 1997 in Acheng, Harbin, is an Associate Professor and a committed member of the Communist Party of China. With a strong academic foundation in Electrical Engineering and Automation, she has quickly risen as a prominent figure in the field of Petroleum and Natural Gas Engineering.

Education

Dr. Na Yi graduated with a degree in Electrical Engineering and Automation from Northeast Petroleum University in 2019. She was subsequently recommended for a doctoral program in Petroleum and Natural Gas Engineering, during which she also studied at Southeast University, earning her doctorate in 2024.

Professional Experience

Throughout her career, Dr. Na Yi has published over 20 research papers in esteemed journals, with 10 SCI-indexed and 5 EI-indexed papers, including highly cited and hot papers. She holds 6 national patents and has participated in 5 significant scientific research projects. Her achievements have earned her more than 10 national and provincial awards.

Research Interests

Dr. Na Yi’s research interests lie in Petroleum Engineering, with a focus on sustainable energy, power systems, and technological innovation. She is an active reviewer for multiple international and Chinese academic journals and has been invited to present her research at several international and domestic conferences.

 Publications

A multi-stage low-cost false data injection attack method for power CPS

  • Authors: Yi, N., Xu, J., Chen, Y., Pan, F.
  • Journal: Zhejiang Electric Power
  • Year: 2023
A New Distributed Power Supply for Distribution Network Considering SOP Access
  • Authors: Peng, C., Xu, J., Zhao, S., Yi, N.
  • Year: 2023
Multi-stage coordinated cyber-physical topology attack method based on deep reinforcement learning
  • Authors: Yi, N., Xu, J., Chen, Y., Sun, D.
  • Journal: Electric Power Engineering Technology
  • Year: 2023
A multi-stage game model for the false data injection attack from attacker’s perspective
  • Authors: Yi, N., Wang, Q., Yan, L., Tang, Y., Xu, J.
  • Journal: Sustainable Energy, Grids and Networks
  • Year: 2021
Insulator Self-Explosion Defect Detection Based on Hierarchical Multi-Task Deep Learning
  • Authors: Xu, J., Huang, L., Yan, L., Yi, N.
  • Journal: Diangong Jishu Xuebao/Transactions of China Electrotechnical Society
  • Year: 2021

Mr. Ardak Kanagatovich Syzdykov | Healthcare Applications | Young Scientist Award

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Mr. Ardak Kanagatovich Syzdykov | Healthcare Applications | Young Scientist Award

Ardak Kanagatovich Syzdykov at Institute of Organic Synthesis and Coal Chemistry, Kazakhstan 

Profile

Orcid

Academic Background

Mr. Ardak Kanagatovich Syzdykov is a dedicated and skilled chemical analyst and pharmacist. With a background in chemical technology and pharmacy, he is known for his strong work ethic, quick learning abilities, and effective communication skills. Ardak is highly motivated and committed to making significant contributions in his professional field.

Education

Mr. Ardak’s educational journey began at Ustobin Secondary School (2003-2014), followed by a degree in Pharmacy from Bolashak Higher Academy (2014-2019). He further advanced his expertise with a Master’s Degree in Chemical Technology of Organic Substances from Karaganda Technical University (2019-2021).

Professional Experience

Mr. Ardak has garnered valuable experience through various roles: Chemical Analyst at International Scientific and Production Holding “Fitokhimiya,” Laboratory Assistant Trainee at LLP “Natiyezh,” Pharmacist at LLP “Darysyn,” and Chemical Analyst at LLP “Pharmacy 2010.” His diverse experience underscores his expertise and adaptability in the field.

🛠️ Skills and Competencies

Mr. Ardak is proficient in using MS Office, email, internet browsers, and graphic programs. He excels in rapid information search on the internet and is fluent in Kazakh and Russian, with an A2 level in English. His personal traits include being a team player, quick learner, communicative, responsible, and conflict-free.

 Publications

Synthesis and Biological Activity of New Hydrazones Based on N-Aminomorpholine
  • Authors:Oralgazy Nurkenov, Saule B. Zhautikova, Andrei Khlebnikov, Ардақ Сыздықов, Serik D. Fazylov, Tulegen Seilkhanov, Saule K. Kabieva, Kobylandy M. Turdybekov, Anel Mendibayeva, Gaziza M. Zhumanazarova
  • Journal: Molecules
  • Year: 2024

Prof. Meng-Tsan Chiang | Nutrition | Best Researcher Award

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Prof. Meng-Tsan Chiang | Nutrition | Best Researcher Award

Professor at National Taiwan Ocean University, Taiwan

Profiles

Scopus

Orcid

Education

Dr. Meng-Tsan received his Ph.D. and MS from Tohoku University in Sendai, Japan. He also holds a Bachelor’s degree from National Taiwan Ocean University.

Professional Experience

Dr. Meng-Tsan’s professional experience includes serving as a member of the Health Food Review Committee for the Food and Drug Administration and as a member of the Editorial Board for the Journal of Food and Drug Analysis.

🏆 Representative Honors/Awards

Dr. Meng-Tsan has been recognized with several prestigious awards, including The Outstanding Academic Award of Taiwan Health Food Society, the Prof. Shung-Chiu Chen Memorial Academic Award of Taiwan Nutrition Society, and the Health Food Development Special Contribution Award of Taiwan Health Food Society.

 Publications

Exendin-4, a glucagon-like peptide-1 receptor agonist, alleviates muscular dysfunction and wasting in a streptozotocin-induced diabetic mouse model compared to metformin
  • Authors: Chan, D.-C., Lin, Y.-C., Tzeng, H.-P., Chiang, M.-T., Liu, S.-H.
  • Journal: Tissue and Cell
  • Year: 2024
Dehulled Adlay (Coix lachryma-jobi L.) ameliorates hepatic gluconeogenesis and steatosis in streptozotocin/high-fat diet-induced diabetic rats
  • Authors: Liu, S.-H., Wu, W.-H., Tzeng, H.-P., Chiang, W., Chiang, M.-T.
  • Journal: Journal of Food and Drug Analysis
  • Year: 2023
Attenuation of diabetes-mediated muscle atrophy in rats by fish oil enriched omega-3 polyunsaturated fatty acids supplementation
  • Authors: Liu, S.-H., Lin, W.-H., Tzeng, H.-P., Chiang, M.-T.
  • Journal: Journal of Food and Drug Analysis
  • Year: 2023
Antidiabetic Properties of Chitosan and Its Derivatives
  • Authors: Tzeng, H.-P., Liu, S.-H., Chiang, M.-T.
  • Journal: Marine Drugs
  • Year: 2022
Improvement of Glycemic Control by a Functional Food Mixture Containing Maltodextrin, White Kidney Bean Extract, Mulberry Leaf Extract, and Niacin-Bound Chromium Complex in Obese Diabetic db/db Mice
  • Authors: Tzeng, H.-P., Chiu, C.-Y., Liu, S.-H., Chiang, M.-T.
  • Journal: Metabolites
  • Year: 2022

Mrs. Samreen Fiza | Medical Image Analysis | Best Researcher Award

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Mrs. Samreen Fiza | Medical Image Analysis | Best Researcher Award

Samreen Fiza at Presidency University, India 

Profiles

Scopus

Orcid

Google Scholar

Academic Background:

Dr. Samreen Fiza is a dedicated and accomplished academic professional with over nine years of experience in the field of Electronics and Communication Engineering. Currently serving as an Assistant Professor in the E.C.E Department at the School of Engineering, Presidency University, Bangalore, she has demonstrated excellence in teaching, research, and mentoring. She has published 14 international journal papers, presented 14 papers at international conferences, and has six patents to her name. Dr. Fiza has also been recognized with numerous awards, including the "Teaching Excellence Award" and multiple "Best Paper Awards."

Education:

Dr. Fiza is currently pursuing her Ph.D. at Presidency University, Bangalore, focusing on Image Fusion using Computer Vision and Machine Learning. She completed her MTech in Digital Communication and Networking from Dayananda Sagar College of Engineering, Bangalore, securing a First class with Distinction (82.29%) and earning a University 3rd Rank (Silver Medalist) from VTU Belgaum in 2014. She holds a BTech in Electronics and Communication Engineering from H.K.B.K. College of Engineering, Bangalore, where she also graduated with First class Distinction. Her earlier education includes completing her PUC from St. Anne’s P.U. College and SSLC from St. Mary’s Girls High School, both in Bangalore, Karnataka.

Professional Experience:

Dr. Fiza has a rich professional background, beginning her career as an Assistant Professor in the E.C.E Department at H.K.B.K. College of Engineering, Bangalore, where she worked from March 2015 to May 2018. Since July 2018, she has been serving as an Assistant Professor at Presidency University, Bangalore. In her current role, she has excelled in teaching a wide range of courses, coordinating research and development projects, and guiding undergraduate projects. She has also actively contributed to NAAC and NBA accreditation processes and organized numerous technical workshops, seminars, and industrial visits.

Research Interests:

Dr. Fiza's research interests lie primarily in the fields of Digital Image and Video Processing and Machine Learning. Her ongoing Ph.D. work focuses on Image Fusion using Computer Vision and Machine Learning. She has been actively involved in presenting her research at various national and international conferences and has published multiple papers and book chapters in these areas. Her notable projects include "Plant Disease Classification using DL Techniques for Smart Agriculture" and "Fluorescein Angiography Retinal Image Registration using Coherent Pixel Correspondence."

 Publications:

Multi-focus image fusion using edge discriminative diffusion filter for satellite images
  • Authors: Samreen Fiza, S Safinaz
  • Journal: Multimedia Tools and Applications
  • Year: 2024
Medical image registration with object deviation estimation through motion vectors using octave and level sampling
  • Authors: P Nagarathna, Azra Jeelani, Samreen Fiza, G Tirumala Vasu, Koteswararao Seelam
  • Journal: Automatika
  • Year: 2024
Improved chimp optimization algorithm (ICOA) feature selection and deep neural network framework for internet of things (IOT) based android malware detection
  • Authors: Samreen Fiza, ATA Kishore Kumar, V Sowmya Devi, Ch Niranjan Kumar, Afreen Kubra
  • Journal: Measurement: Sensors
  • Year: 2023
MACHINE LEARNING ALGORITHMS BASED SUBCLINICAL KERATOCONUS DETECTION
  • Authors: Koteswararao Seelam Samreen Fiza, G. Tirumala Vasu, Afreen Kubra, Ata. Kishore Kumar
  • Journal: NeuroQuantology
  • Year: 2022
Exploring Possibilities And Methodologies for Big Data and 5G Convergence
  • Authors: Intekhab Alam, Samreen Fiza, MP Sunil
  • Year: 2023

Ms. Linjing Wei | Deep Learning | Best Researcher Award

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Ms. Linjing Wei | Deep Learning | Best Researcher Award

Linjing Wei at Gansu Agricultural University, China

Profile

Scopus

Academic Background:

Ms. Linjing Wei is a distinguished female professor at Gansu Agricultural University, specializing in Grassland Science with a research focus on Grassland Informatics. Born in July 1977, she has made significant contributions to her field through her extensive research, academic guidance, and numerous publications.

Education:

Ms. Wei earned her PhD in Grassland Science from Gansu Agricultural University in June 2015. Her educational background has provided a strong foundation for her academic and research pursuits.

Professional Experience:

Ms. Wei teaches several courses for master’s students, including Introduction to Cloud Computing, Case Analysis of Software Engineering, Information Systems and Information Resource Management, and Distributed Systems and Cloud Computing Technology. As the first supervisor, she has guided numerous master’s students in various majors, particularly in Agricultural Engineering and Information Technology.

Research Interests:

Ms.Wei's research interests lie in Grassland Informatics. Over the past five years, she has led several key research projects with significant funding, focusing on areas such as data resource integration, intelligent cloud platforms for agricultural logistics, ecosystem restoration and monitoring, sustainable development planning, and trustworthy traceability systems for agricultural products. Her published works include papers in prestigious journals like Sensors and the Canadian Journal of Remote Sensing, as well as contributions to national-level textbooks and academic monographs.

📝 Academic Achievements:

Ms. Wei has an impressive list of published papers, including "Fine Segmentation of Chinese Character Strokes Based on Co-ordinate Awareness and Enhanced BiFPN" in Sensors (2024), "Enhanced Wheat Head Detection in Images Using Fourier Domain Adaptation and Random Guided Filter" in Canadian Journal of Remote Sensing (2024), and "Feature Selection in High Dimensional Biomedical Data Based on BF-SFLA" in Neurogenetics (2022).

 Publications:

Fine Segmentation of Chinese Character Strokes Based on Coordinate Awareness and Enhanced BiFPN
  • Authors:Mo, H., Wei, L.
  • Journal: Sensors
  • Year: 2024
A Smart Chicken Farming Platform for Chicken Behavior Identification and Feed Residual Estimation
  • Authors: Yang, J., Gao, J., Li, Y., Lu, Q., Zheng, H.
  • Journal: Proceedings - 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
  • Year: 2023
Feature Selection in High Dimensional Biomedical Data Based on BF-SFLA
  • Authors: Dai, Y., Niu, L., Wei, L., Tang, J.
  • Journal: Frontiers in Neuroscience
  • Year: 2022
Jointly Learning Topics in Sentence Embedding for Document Summarization
  • Authors: Gao, Y., Xu, Y., Huang, H., Wei, L., Liu, L.
  • Journal: IEEE Transactions on Knowledge and Data Engineering
  • Year: 2020
Study on the Matching Algorithm of Turf Grass Introduction Features Based on Big Data Analysis
  • Authors: Wei, L., Dong, W., Gan, S., Wang, Y.
  • Year: 2019

Dr. Tirumala Vasu | Image Processing | Excellence In Research

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Dr. Tirumala Vasu | Image Processing | Excellence In Research

Doctorate at Presidency University, India

Profiles

Scopus

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Google Scholar

Academic Background:

Dr. G. Tirumala Vasu is an accomplished Assistant Professor in the E.C.E Department at Presidency University, Bangalore, Karnataka, with over 14 years of extensive experience in academia. He is known for his dedication to teaching, research, and development in the field of Electronics and Communication Engineering. Dr. Vasu has made significant contributions to the academic community, publishing numerous research papers, presenting at national and international conferences, and securing patents. He has a strong background in Digital Image Processing, Deep Learning, and Digital Signal Processing, among other areas. He has also been recognized for his outstanding teaching and research efforts with various awards and honors.

Education:

Dr. Vasu earned his Ph.D. from the National Institute of Technology (NIT), Tiruchirappalli in February 2024, with a thesis titled “Multi Focus, Multi Exposure and Multi Sensor Image Fusion Using Edge Preserving Filters”. He holds an M.Tech in Digital Electronics and Communication Systems from JNTU Anantapur, completed in 2009 with first-class distinction, and a B.Tech in Electronics and Communication Engineering from Sri Venkateswara University, Tirupati, completed in 2007. Additionally, he has distinguished himself academically since his early education, consistently achieving first-class distinction throughout his studies.

Professional Experience:

Dr. Vasu has been serving as an Assistant Professor at Presidency University, Bangalore since July 2018. Previously, he held the same position at Siddharth Institute of Engineering and Technology, Puttur, Andhra Pradesh from June 2012 to May 2018, and at Regency Institute of Technology, Yanam, UT of Puducherry from December 2010 to June 2012. He began his academic career at KSRM College of Engineering, Kadapa, Andhra Pradesh, where he worked from August 2009 to December 2010. Throughout his career, Dr. Vasu has taught a wide range of subjects including Computational Intelligence, Machine Learning, Digital Signal Processing, and more. He has also been actively involved in various academic and research coordination roles.

Research Interests:

Dr. Vasu’s research interests are diverse and include Digital Image and Video Processing, Deep Learning and Machine Learning, Digital Signal Processing, 5G OTFS, Electromagnetic Waves and Transmission Lines, and Antennas and Wave Propagation. He has published 28 papers in international journals, presented at numerous conferences, and published 11 patents. His work has earned him accolades such as Best Paper awards and recognition for his innovative contributions to the field of Electronics and Communication Engineering.

 Publications:

Medical image registration with object deviation estimation through motion vectors using octave and level sampling
  • Authors: Nagarathna, P., Jeelani, A., Fiza, S., Vasu, G.T., Seelam, K.
  • Journal: Automatica
  • Year: 2024
Multi-exposure image fusion using structural weights and visual saliency map
  • Authors: Tirumala Vasu, G., Palanisamy, P.
  • Journal: Multimedia Tools and Applications
  • Year: 2024
Visible and Infrared Image Fusion Using Distributed Anisotropic Guided Filter
  • Authors: Vasu, G.T., Palanisamy, P.
  • Journal: Sensing and Imaging
  • Year: 2023
Improved chimp optimization algorithm (ICOA) feature selection and deep neural network framework for internet of things (IOT) based android malware detection
  • Authors: G.T.V., Fiza, S., Kumar, A.K., Kumar, C.N., Kubra, A.
  • Journal: Measurement: Sensors
  • Year: 2023
CT and MRI multi-modal medical image fusion using weight-optimized anisotropic diffusion filtering
  • Authors: Vasu, G.T., Palanisamy, P.
  • Journal: Soft Computing
  • Year: 2023